Magnetic susceptibility logging is recognized as an efficient and eco-friendly logging method,nevertheless,which is barely used in oil and gas field fundamentally due to the imperfection of theoretical guidance and application methodology. Therefore,taking the Quaternary in Hetao basin as an example,combined with sedimentary architecture and theories of geomagnetism,relationship between magnetic susceptibility logging and geological factors was established based on core data from drilling holes of A,B and C in the study area and the measured magnetic susceptibility data from logging,and the main factors controlling response of magnetic susceptibility logging were determined. On this basis,well-logging interpretation pattern was established by combining both conventional well logging and magnetic susceptibility logging. The results manifest that the magnetic susceptibility is abnormally high when the formation has high abundance of organic matter and paramagnetic minerals,frequent occurrence of muddy-silty intercalations and drilling fluid penetration. The variation trend of magnetic susceptibility is highly consistent with the organic matter content. The maximum value of magnetic susceptibility is 137×10-5 SI in the study area,and the correlation coefficient between magnetic susceptibility and the relative content of paramagnetic minerals is 0.87. The magnetic susceptibility also has positive correlation with the scale of horizontal bedding and drilling fluid penetration. Moreover,curve φ,which represents the systematic error of magnetic susceptibility,can reflect the fluctuation of sedimentary environment and hydro-dynamic conditions. Combined with well-logging response characteristics,magnetic susceptibility logging could be widely applied in the research of sedimentation and sequence stratigraphy,evaluation of source rock,identification of clay minerals and fine reservoir description.
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Du Wei, Wang Hongcai, Ma Tianjiao, Yang Tao, Yang Xingchen. Response characteristics of magnetic susceptibility logging and controlling factors analysis[J]. Petroleum Geology and Recovery Efficiency,2017,24(2):52~57